haiyunhong

resnet50-tensorflow

Custom implementation of ResNet50 Image Classification model using pure TensorFlow

haiyunhong.github.io

awesome-c

A curated list of awesome C frameworks, libraries, resources and other shiny things. Inspired by all the other awesome-... projects out there.

TernausNet

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

ModelsGenesis

[MICCAI 2019] [MEDIA 2020] Models Genesis

3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

Unet-Segmentation-Pytorch-Nest-of-Unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

DiceLoss-PyTorch

DiceLoss for PyTorch, both binary and multi-class.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

deep_residual_unet

Keras implementation of Road Extraction by Deep Residual U-Net article

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

PyMIC

YNet

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

RMI

This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

SegLossOdyssey

A collection of loss functions for medical image segmentation

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

brain-tumor-segmentation

Pytorch implementaion of UNet, Deep ResUnet and ONet models for the brain tumor segmentation task

Interview

Interview = 简历指南 + 算法题 + 八股文 + 源码分析

EAD2019

Github pages

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Python

All Algorithms implemented in Python

VS-ReID

Video Object Segmentation with Re-identification

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

nnUNet

vision

Datasets, Transforms and Models specific to Computer Vision

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

3D-LeNet-with-PyTorch

An Implementation of 3D LeNet Model with PyTorch

DANet

Dual Attention Network for Scene Segmentation (CVPR2019)

CADLab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory